# Open-ended Visual Question Answering on JSIEC

Source: [Open-ended Visual Question Answering on JSIEC](<https://www.sota2.com/research/sota/open-ended-visual-question-answering-on-jsiec>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-10T08:51:39.412Z

Evaluation of model performance on the JSIEC dataset for Open-ended Visual Question Answering, reporting F1, Recall, and Precision.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Open-ended Visual Question Answering |
| Dataset (including any stated split) | JSIEC |
| Metric | F1 Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [F1 Score](<https://www.sota2.com/research/sota/open-ended-visual-question-answering-on-jsiec.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/open-ended-visual-question-answering-on-jsiec.md?metric=Recall>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/open-ended-visual-question-answering-on-jsiec.md?metric=Precision>): Higher is better; unit: PERCENT.

## Recorded results

| Method | F1 Score | Result date | Report paper |
| --- | --- | --- | --- |
| EyExIn | 63.1 | Not recorded | 69afa56a2d603e6de3e438df |
| ChatGPT-5.2 | 31.39 | Not recorded | 69afa56a2d603e6de3e438df |
| Gemini3-Pro | 30.78 | Not recorded | 69afa56a2d603e6de3e438df |
| Qwen3-VL-Max | 19.48 | Not recorded | 69afa56a2d603e6de3e438df |
| Qwen2.5-VL | 14 | Not recorded | 69afa56a2d603e6de3e438df |
| LLaVA | 11.82 | Not recorded | 69afa56a2d603e6de3e438df |

### EyExIn

F1 Score: 63.1. Result ID: 69afdb966dbb7075b9584fc6.

[Reporting paper](<https://www.sota2.com/research/paper/69afa56a2d603e6de3e438df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69afa56a2d603e6de3e438df.md>)

Recorded evaluation configuration: {"Model Category":"Fine-Tuned"}. This record does not assert independent reproduction.

### ChatGPT-5.2

F1 Score: 31.39. Result ID: 69afdb966dbb7075b9584fc2.

[Reporting paper](<https://www.sota2.com/research/paper/69afa56a2d603e6de3e438df.md>)

Recorded evaluation configuration: {"Model Category":"Proprietary"}. This record does not assert independent reproduction.

### Gemini3-Pro

F1 Score: 30.78. Result ID: 69afdb966dbb7075b9584fc3.

[Reporting paper](<https://www.sota2.com/research/paper/69afa56a2d603e6de3e438df.md>)

Recorded evaluation configuration: {"Model Category":"Proprietary"}. This record does not assert independent reproduction.

### Qwen3-VL-Max

F1 Score: 19.48. Result ID: 69afdb966dbb7075b9584fc1.

[Reporting paper](<https://www.sota2.com/research/paper/69afa56a2d603e6de3e438df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6927db54d6b0dd3342930f66.md>)

Recorded evaluation configuration: {"Model Category":"Proprietary"}. This record does not assert independent reproduction.

### Qwen2.5-VL

F1 Score: 14. Result ID: 69afdb966dbb7075b9584fc5.

[Reporting paper](<https://www.sota2.com/research/paper/69afa56a2d603e6de3e438df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Model Category":"Fine-Tuned"}. This record does not assert independent reproduction.

### LLaVA

F1 Score: 11.82. Result ID: 69afdb966dbb7075b9584fc4.

[Reporting paper](<https://www.sota2.com/research/paper/69afa56a2d603e6de3e438df.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa717d1e209131cea51970.md>)

[Implementation](<https://llava-vl.github.io/>)

Recorded evaluation configuration: {"Model Category":"Fine-Tuned"}. This record does not assert independent reproduction.

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